activity
20212024
most citedChannel prior convolutional attention for medical image segmentation

12 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2024

Distributed Coordination for Multi-Vehicle Systems in the Presence of Misbehaving Vehicles

Dongkun Han, Yijun Huang, Hejun Huang +1

The coordination problem of multi-vehicle systems is of great interests in the area of autonomous driving and multi-vehicle control. This work mainly focuses on multi-task coordina…

q-fin.PM2023

Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization

Zhenglong Li, Hejun Huang, Vincent Tam

Reinforcement learning (RL) based investment strategies have been widely adopted in portfolio management (PM) in recent years. Nevertheless, most RL-based approaches may often emph…

eess.IV2023★ 12 cited

Channel prior convolutional attention for medical image segmentation

Hejun Huang, Zuguo Chen, Ying Zou +2

Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is…

eess.SY2023

Remote Identification Trajectory Coverage in Urban Air Mobility Applications

Hejun Huang, Billy Mazotti, Joseph Kim +1

As Urban Air Mobility (UAM) and Advanced Air Mobility (AAM) continue to mature, a safety-critical system that will need to be implemented in tandem is Remote Identification (Remote…

eess.SY2022

Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning

Hejun Huang, Zhenglong Li, Dongkun Han

Safety guarantee is essential in many engineering implementations. Reinforcement learning provides a useful way to strengthen safety. However, reinforcement learning algorithms can…

eess.SY2022

Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems

Dongkun Han, Hejun Huang

Recent advances in learning techniques have enabled the modelling of unknown dynamical systems directly from data. However, in many contexts, these learning-based methods are short…

eess.SY2021

On Estimating the Probabilistic Region of Attraction for Partially Unknown Nonlinear Systems: An Sum-of-Squares Approach

Hejun Huang, Dongkun Han

Estimating the region of attraction for partially unknown nonlinear systems is a challenging issue. In this paper, we propose a tractable method to generate an estimated region of…